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    "version": 3
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 "cells": [
  {
   "cell_type": "code",
   "execution_count": 17,
   "metadata": {},
   "outputs": [],
   "source": [
    "import numpy as np\n",
    "import pandas as pd\n",
    "import matplotlib.pyplot as plt"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 18,
   "metadata": {},
   "outputs": [],
   "source": [
    "plt.rcParams['font.sans-serif'] = ['SimHei']"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 19,
   "metadata": {},
   "outputs": [
    {
     "output_type": "stream",
     "name": "stdout",
     "text": [
      "       空白组      模型组      雄芍组      扶正组\n0   98.331  182.503  125.001  134.332\n1  100.302  187.421  120.988  113.451\n2   95.328  179.368  117.337  122.674\n3   90.012  173.443  133.300  126.768\n4   93.986  185.502  127.830  126.564\n"
     ]
    }
   ],
   "source": [
    "IL_6 = pd.read_excel(\"A:\\\\xiaojian\\\\Source\\\\python\\\\细胞ELISA原始数据.xlsx\", 'IL-6')\n",
    "print(IL_6.head())"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 20,
   "metadata": {},
   "outputs": [
    {
     "output_type": "stream",
     "name": "stdout",
     "text": [
      "空白组\n模型组\n雄芍组\n扶正组\n"
     ]
    },
    {
     "output_type": "execute_result",
     "data": {
      "text/plain": [
       "<matplotlib.legend.Legend at 0x1daf9892eb0>"
      ]
     },
     "metadata": {},
     "execution_count": 20
    },
    {
     "output_type": "stream",
     "name": "stderr",
     "text": [
      "A:\\xiaojian\\AppData\\Local\\Programs\\Python\\Python39\\lib\\site-packages\\matplotlib\\textpath.py:65: RuntimeWarning: Glyph 8722 missing from current font.\n  font.set_text(s, 0.0, flags=LOAD_NO_HINTING)\nA:\\xiaojian\\AppData\\Local\\Programs\\Python\\Python39\\lib\\site-packages\\matplotlib\\backends\\backend_agg.py:240: RuntimeWarning: Glyph 8722 missing from current font.\n  font.set_text(s, 0.0, flags=flags)\nA:\\xiaojian\\AppData\\Local\\Programs\\Python\\Python39\\lib\\site-packages\\matplotlib\\backends\\backend_agg.py:203: RuntimeWarning: Glyph 8722 missing from current font.\n  font.set_text(s, 0, flags=flags)\n"
     ]
    },
    {
     "output_type": "display_data",
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\n"
     },
     "metadata": {
      "needs_background": "light"
     }
    }
   ],
   "source": [
    "fig, ax = plt.subplots()  # Create a figure containing a single axes.\n",
    "ax.spines['top'].set_visible(False)\n",
    "ax.spines['right'].set_visible(False)\n",
    "for index in range(IL_6.shape[1]):\n",
    "    column = IL_6.iloc[:, index]\n",
    "    print(column.name)\n",
    "    ax.bar(index, column.mean(), width=1, yerr=column.std(), error_kw={'ecolor': '0.2', 'capsize': 6}, label=column.name)\n",
    "ax.legend()\n",
    "\n",
    "# ax.bar(range(IL_6.shape[1]), IL_6.mean(), width=1, yerr=IL_6.std(), error_kw={'ecolor': '0.2', 'capsize': 6}, color=['r', 'g', 'b', 'y'], label=IL_6.columns)\n",
    "# IL_6_mean = [*map(lambda x:x, IL_6.iteritems())]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  }
 ]
}